scholarly journals Disparities in Distribution of Particulate Matter Emission Sources by Race and Poverty Status

2018 ◽  
Vol 108 (4) ◽  
pp. 480-485 ◽  
Author(s):  
Ihab Mikati ◽  
Adam F. Benson ◽  
Thomas J. Luben ◽  
Jason D. Sacks ◽  
Jennifer Richmond-Bryant
2015 ◽  
Vol 41 (2) ◽  
pp. 28-35 ◽  
Author(s):  
Jolanta Godłowska ◽  
Monika J. Hajto ◽  
A. Monika Tomaszewska

Abstract The paper presents a method of identifying distant emission sources of fine particulate matter PM2.5 affecting significantly PM2.5 concentrations at a given location. The method involves spatial analysis of aggregate information about PM2.5 concentrations measured at the location and air masses backward trajectories calculated by HYSPLIT model. The method was examined for three locations of PM2.5 measurement stations (Diabla Góra, Gdańsk, and Katowice) which represented different environmental conditions. The backward trajectories were calculated starting from different heights (30, 50, 100 and 150 m a. g. l.). All points of a single backward trajectory were assigned to the PM2.5 concentration corresponding to the date and the site of the beginning of trajectory calculation. Daily average concentrations of PM2.5 were used, and in the case of Gdańsk also hourly ones. It enabled to assess the effectiveness of the presented method using daily averages if hourly ones were not available. Locations of distant sources of fine particulate matter emission were determined by assigning to each grid node a mean value of PM2.5 concentrations associated with the trajectories points located within the so-called search ellipse. Nearby sources of fine particulate matter emission were eliminated by filtering the trajectories points located close to each other (so-called duplicates). The analyses covered the period of January-March 2010. The results indicated the different origin of air masses in the northern and southern Poland. In Diabla Góra and Gdańsk the distant sources of fine particulate matter emission are identified in Belarus and Russia. In Katowice the impact of the Belarusian PM2.5 emission sources was also noted but as the most important fine particulate matter emission sources were considered those located in the area of Romania, Hungary, Slovakia and Ukraine.


2020 ◽  
Author(s):  
Giorgia Palladino ◽  
Pietro Morozzi ◽  
Elena Biagi ◽  
Erika Brattich ◽  
Silvia Turroni ◽  
...  

AbstractHere we explore how the chemical composition of particulate matter (PM) and meteorological conditions combine in shaping the air microbiome in a heavily inhabited industrial urban settlement. During the observation time, the air microbiome was highly dynamic, fluctuating between different compositional states, likely resulting from the aerosolization of different microbiomes emission sources. This dynamic process depends on the combination of local meteorological parameters and particle emission sources, which may affect the prevalent aerosolized microbiomes. In particular, we showed that, in the investigated area, industrial emissions and winds blowing from the inlands combine with an airborne microbiome that includes faecal microbiomes components, suggesting multiple citizens’ exposure to both chemicals and microorganisms of faecal origin, as related to landscape exploitation and population density. In conclusion, our findings support the need to include monitoring of the air microbiome compositional structure as a relevant factor for the final assessment of local air quality.


2016 ◽  
Vol 463 ◽  
pp. 452-466
Author(s):  
Andrzej Szczurek ◽  
Monika Maciejewska ◽  
Agnieszka Wyłomańska ◽  
Grzegorz Sikora ◽  
Michał Balcerek ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giorgia Palladino ◽  
Pietro Morozzi ◽  
Elena Biagi ◽  
Erika Brattich ◽  
Silvia Turroni ◽  
...  

AbstractAim of the present study is to explore how the chemical composition of particulate matter (PM) and meteorological conditions combine in shaping the air microbiome in Savona (Italy), a medium-size, heavily inhabited urban settlement, hosting a wide range of industrial activities. In particular, the air microbiome and PM10 were monitored over six months in 2012. During that time, the air microbiome was highly dynamic, fluctuating between different compositional states, likely resulting from the aerosolization of different microbiomes emission sources. According to our findings, this dynamic process depends on the combination of local meteorological parameters and particle emission sources, which may affect the prevalent aerosolized microbiomes, thus representing further fundamental tools for source apportionment in a holistic approach encompassing chemical as well as microbiological pollution. In particular, we showed that, in the investigated area, industrial emissions and winds blowing from the inlands combine with an airborne microbiome which include faecal microbiomes components, suggesting multiple citizens’ exposure to both chemicals and microorganisms of faecal origin, as related to landscape exploitation and population density. In conclusion, our findings support the need to include monitoring of the air microbiome compositional structure as a relevant factor for the final assessment of local air quality.


Fuel ◽  
2021 ◽  
Vol 301 ◽  
pp. 121054
Author(s):  
Yue Peng ◽  
Tao Wang ◽  
Yongzheng Gu ◽  
Jiawei Wang ◽  
Yongsheng Zhang ◽  
...  

Fuel ◽  
2022 ◽  
Vol 310 ◽  
pp. 122271
Author(s):  
Wu Yang ◽  
Deepak Pudasainee ◽  
Rajender Gupta ◽  
Wei Li ◽  
Ben Wang ◽  
...  

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